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-[[https://www.repostatus.org/badges/latest/wip.svg][https://www.repostatus.org/badges/latest/wip.svg]]
-[[https://www.gnu.org/licenses/gpl-3.0][https://img.shields.io/badge/License-GPLv3-blue.svg]]
-[[https://github.com/openosmia/snowlaps-emulator/actions][file:https://github.com/openosmia/snowlaps-emulator/workflows/CI/badge.svg]]
-[[https://github.com/psf/black][https://img.shields.io/badge/code%20style-black-000000.svg]]
-
-* snowlaps ❄️🦠🏔️
-
-=snowlaps= is a Python package built on a deep learning emulator of
-the two-stream radiative transfer model [[https://biosnicar.vercel.app/][biosnicar]]. It was originally
-developed to study the impact of different Light Absorbing Particles
-(LAPs) on snow spectral albedo as part of a [[https://doi.org/10.5194/egusphere-2024-2583][research project]] in
-Southern Norway. Now, =snowlaps= has grown into a library with two
-main use cases.
-
-- *forward mode*: predict snow spectral albedo from prescribed surface
-  properties as a fast alternative to [[https://biosnicar.vercel.app/][biosnicar]].
-- *inverse mode*: infer surface properties from snow spectral albedo
-  observations.
-
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